ADC (Adaptive Differential Coding) . Lossy Audio Codec and more. Article Swipe
Nania, Francesco Antonio
·
YOU?
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· 2025
· Open Access
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· DOI: https://doi.org/10.5281/zenodo.17844093
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.5281/zenodo.17844093
ADC – Audio Codec for lossy Compression - ADC Codec - Version 0.80 Technical Overview The ADC (Advanced Differential Coding) Codec, Version 0.80, represents a significant evolution in low-bitrate, high-fidelity audio compression. It employs a complex time-domain approach combined with advanced frequency splitting and efficient entropy coding. 🔬 Core Architecture and Signal Processing Version 0.80 operates primarily in the Time Domain but achieves spectral processing through a specialized Quadrature Mirror Filter (QMF) bank approach. 1. Subband Division (QMF Analysis) The input audio signal is meticulously decomposed into 8 discrete Subbands using a tree-structured, octave-band QMF analysis filter bank. This process achieves two main goals: Decorrelation: It separates the signal energy into different frequency bands, which are then processed independently. Time-Frequency Resolution: It allows the codec to apply specific bit allocation and compression techniques tailored to the psychoacoustic properties of each frequency band. 2. Advanced Differential Coding (DPCM) Compression is achieved within each subband using Advanced Differential Coding (DPCM) techniques. This method exploits the redundancy (correlation) inherent in the audio signal, particularly the strong correlation between adjacent samples in the same subband. A linear predictor estimates the value of the current sample based on past samples. Only the prediction residual (the difference), which is much smaller than the original sample value, is quantized and encoded. The use of adaptive or contextual prediction ensures that the predictor adapts dynamically to the varying characteristics of the audio signal, minimizing the residual error. 3. Contextual Range Coding The quantized prediction residuals are then compressed using Contextual Range Coding (a variant of arithmetic coding). This highly efficient entropy coding technique ensures maximum compression efficiency: Range Coding: It assigns shorter codewords to more frequent symbols and longer codewords to less frequent symbols, approaching the theoretical Shannon limit for entropy. Contextual Modeling: This is the key advanced feature. The probability model used by the Range Coder is not static; instead, it adapts based on the context of the surrounding symbols (e.g., the values of the previously encoded residuals). This dynamic modeling provides a more accurate probability estimation, resulting in superior compression ratios compared to standard DPCM or fixed entropy coding. ⚙️ Key Features of Version 0.80 Feature Description Domain Time Domain with subband filtering. Subbands Division into 8 QMF subbands. Quantization Advanced DPCM (Differential Pulse-Code Modulation) exploiting intra-subband correlation. Entropy Coding Contextual Range Coding for highly efficient compression of residual data. Joint Stereo Support for Joint Stereo encoding (M/S encoding) to further reduce redundancy between channels. Delay Management Includes specific QMF Pre-roll procedures to manage filter delay and ensure symmetrical encoder/decoder operation. Usage: Compression: adc c [options]
Related Topics
Concepts
Lossy compression
Computer science
Codec
Speech coding
Sub-band coding
Speech recognition
Residual
Filter bank
Data compression
Linear prediction
Algorithm
Signal processing
Lossless compression
Audio signal
Companding
Coding (social sciences)
Code-excited linear prediction
Decimation
Differential coding
Pulse-code modulation
Quantization (signal processing)
Signal compression
Adaptive Multi-Rate audio codec
Filter (signal processing)
Transform coding
Frequency domain
Critical band
Redundancy (engineering)
Linear predictive coding
Entropy (arrow of time)
Audio signal processing
Speech processing
Electronic engineering
Metadata
- Type
- other
- Landing Page
- https://doi.org/10.5281/zenodo.17844093
- OA Status
- green
- OpenAlex ID
- https://openalex.org/W7109799551
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W7109799551Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.5281/zenodo.17844093Digital Object Identifier
- Title
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ADC (Adaptive Differential Coding) . Lossy Audio Codec and more.Work title
- Type
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otherOpenAlex work type
- Publication year
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2025Year of publication
- Publication date
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2025-12-07Full publication date if available
- Authors
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Nania, Francesco AntonioList of authors in order
- Landing page
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https://doi.org/10.5281/zenodo.17844093Publisher landing page
- Open access
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YesWhether a free full text is available
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greenOpen access status per OpenAlex
- OA URL
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https://doi.org/10.5281/zenodo.17844093Direct OA link when available
- Concepts
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Lossy compression, Computer science, Codec, Speech coding, Sub-band coding, Speech recognition, Residual, Filter bank, Data compression, Linear prediction, Algorithm, Signal processing, Lossless compression, Audio signal, Companding, Coding (social sciences), Code-excited linear prediction, Decimation, Differential coding, Pulse-code modulation, Quantization (signal processing), Signal compression, Adaptive Multi-Rate audio codec, Filter (signal processing), Transform coding, Frequency domain, Critical band, Redundancy (engineering), Linear predictive coding, Entropy (arrow of time), Audio signal processing, Speech processing, Electronic engineeringTop concepts (fields/topics) attached by OpenAlex
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| abstract_inverted_index.Range | 241, 252, 269, 307, 385 |
| abstract_inverted_index.apply | 126 |
| abstract_inverted_index.audio | 30, 81, 168, 233 |
| abstract_inverted_index.band. | 141 |
| abstract_inverted_index.bank. | 97 |
| abstract_inverted_index.based | 191, 315 |
| abstract_inverted_index.codec | 124 |
| abstract_inverted_index.data. | 393 |
| abstract_inverted_index.delay | 419 |
| abstract_inverted_index.fixed | 350 |
| abstract_inverted_index.input | 80 |
| abstract_inverted_index.limit | 290 |
| abstract_inverted_index.lossy | 5 |
| abstract_inverted_index.mail: | 474 |
| abstract_inverted_index.model | 303 |
| abstract_inverted_index.using | 90, 153, 250 |
| abstract_inverted_index.value | 186, 445 |
| abstract_inverted_index.which | 114, 201 |
| abstract_inverted_index.(DPCM) | 146, 157 |
| abstract_inverted_index.(e.g., | 323 |
| abstract_inverted_index.Codec, | 20 |
| abstract_inverted_index.Coding | 145, 156, 242, 253, 383, 386 |
| abstract_inverted_index.Domain | 60, 361, 363 |
| abstract_inverted_index.Enable | 453 |
| abstract_inverted_index.Filter | 70 |
| abstract_inverted_index.Mirror | 69 |
| abstract_inverted_index.Signal | 51 |
| abstract_inverted_index.Stereo | 395, 399, 455 |
| abstract_inverted_index.Usage: | 425 |
| abstract_inverted_index.adapts | 225, 314 |
| abstract_inverted_index.allows | 122 |
| abstract_inverted_index.bands, | 113 |
| abstract_inverted_index.coding | 263 |
| abstract_inverted_index.energy | 109 |
| abstract_inverted_index.ensure | 421 |
| abstract_inverted_index.error. | 238 |
| abstract_inverted_index.filter | 96, 418 |
| abstract_inverted_index.goals: | 103 |
| abstract_inverted_index.highly | 260, 388 |
| abstract_inverted_index.linear | 182 |
| abstract_inverted_index.longer | 280 |
| abstract_inverted_index.manage | 417 |
| abstract_inverted_index.method | 160 |
| abstract_inverted_index.ratios | 344 |
| abstract_inverted_index.reduce | 405 |
| abstract_inverted_index.sample | 190, 208 |
| abstract_inverted_index.signal | 82, 108 |
| abstract_inverted_index.strong | 172 |
| abstract_inverted_index.value, | 209 |
| abstract_inverted_index.values | 325 |
| abstract_inverted_index.within | 150 |
| abstract_inverted_index.⚙️ | 353 |
| abstract_inverted_index.-q<val> | 442 |
| abstract_inverted_index.Coding) | 19 |
| abstract_inverted_index.Coding: | 270 |
| abstract_inverted_index.Entropy | 382 |
| abstract_inverted_index.Feature | 359 |
| abstract_inverted_index.Quality | 458 |
| abstract_inverted_index.Shannon | 289 |
| abstract_inverted_index.Subband | 75 |
| abstract_inverted_index.Support | 396 |
| abstract_inverted_index.Version | 11, 21, 53, 357 |
| abstract_inverted_index.assigns | 272 |
| abstract_inverted_index.between | 174, 407 |
| abstract_inverted_index.coding. | 46, 352 |
| abstract_inverted_index.complex | 35 |
| abstract_inverted_index.contact | 473 |
| abstract_inverted_index.context | 318 |
| abstract_inverted_index.current | 189 |
| abstract_inverted_index.default | 450 |
| abstract_inverted_index.dynamic | 332 |
| abstract_inverted_index.employs | 33 |
| abstract_inverted_index.encoded | 329 |
| abstract_inverted_index.ensures | 221, 265 |
| abstract_inverted_index.entropy | 45, 262, 351 |
| abstract_inverted_index.further | 404 |
| abstract_inverted_index.maximum | 266 |
| abstract_inverted_index.out.adc | 468 |
| abstract_inverted_index.out.wav | 472 |
| abstract_inverted_index.process | 99 |
| abstract_inverted_index.quality | 444 |
| abstract_inverted_index.samples | 176 |
| abstract_inverted_index.shorter | 273 |
| abstract_inverted_index.signal, | 169, 234 |
| abstract_inverted_index.smaller | 204 |
| abstract_inverted_index.static; | 311 |
| abstract_inverted_index.subband | 152, 365 |
| abstract_inverted_index.symbols | 278, 322 |
| abstract_inverted_index.through | 65 |
| abstract_inverted_index.variant | 255 |
| abstract_inverted_index.varying | 229 |
| abstract_inverted_index.Advanced | 143, 154, 374 |
| abstract_inverted_index.Division | 76, 368 |
| abstract_inverted_index.Example: | 462 |
| abstract_inverted_index.Features | 355 |
| abstract_inverted_index.Includes | 411 |
| abstract_inverted_index.Options: | 441 |
| abstract_inverted_index.Overview | 14 |
| abstract_inverted_index.Pre-roll | 414 |
| abstract_inverted_index.Subbands | 89, 367 |
| abstract_inverted_index.accurate | 337 |
| abstract_inverted_index.achieved | 149 |
| abstract_inverted_index.achieves | 62, 100 |
| abstract_inverted_index.adaptive | 217 |
| abstract_inverted_index.adjacent | 175 |
| abstract_inverted_index.advanced | 40, 299 |
| abstract_inverted_index.analysis | 95 |
| abstract_inverted_index.approach | 37 |
| abstract_inverted_index.coding). | 258 |
| abstract_inverted_index.combined | 38 |
| abstract_inverted_index.compared | 345 |
| abstract_inverted_index.discrete | 88 |
| abstract_inverted_index.encoded. | 213 |
| abstract_inverted_index.encoding | 400 |
| abstract_inverted_index.entropy. | 292 |
| abstract_inverted_index.exploits | 161 |
| abstract_inverted_index.feature. | 300 |
| abstract_inverted_index.frequent | 277, 284 |
| abstract_inverted_index.inherent | 165 |
| abstract_inverted_index.instead, | 312 |
| abstract_inverted_index.modeling | 333 |
| abstract_inverted_index.operates | 55 |
| abstract_inverted_index.original | 207 |
| abstract_inverted_index.provides | 334 |
| abstract_inverted_index.residual | 198, 237, 392 |
| abstract_inverted_index.samples. | 194 |
| abstract_inverted_index.specific | 127, 412 |
| abstract_inverted_index.spectral | 63 |
| abstract_inverted_index.standard | 347 |
| abstract_inverted_index.subband. | 180 |
| abstract_inverted_index.superior | 342 |
| abstract_inverted_index.symbols, | 285 |
| abstract_inverted_index.tailored | 133 |
| abstract_inverted_index.(Advanced | 17 |
| abstract_inverted_index.Analysis) | 78 |
| abstract_inverted_index.Modeling: | 294 |
| abstract_inverted_index.Technical | 13 |
| abstract_inverted_index.[options] | 429 |
| abstract_inverted_index.approach. | 73 |
| abstract_inverted_index.channels. | 408 |
| abstract_inverted_index.codewords | 274, 281 |
| abstract_inverted_index.different | 111 |
| abstract_inverted_index.efficient | 44, 261, 389 |
| abstract_inverted_index.encoding) | 402 |
| abstract_inverted_index.estimates | 184 |
| abstract_inverted_index.evolution | 26 |
| abstract_inverted_index.frequency | 41, 112, 140 |
| abstract_inverted_index.input.adc | 471 |
| abstract_inverted_index.input.wav | 467 |
| abstract_inverted_index.predictor | 183, 224 |
| abstract_inverted_index.primarily | 56 |
| abstract_inverted_index.processed | 117 |
| abstract_inverted_index.quantized | 211, 244 |
| abstract_inverted_index.residuals | 246 |
| abstract_inverted_index.resulting | 340 |
| abstract_inverted_index.separates | 106 |
| abstract_inverted_index.splitting | 42 |
| abstract_inverted_index.subbands. | 372 |
| abstract_inverted_index.technique | 264 |
| abstract_inverted_index.Contextual | 240, 251, 293, 384 |
| abstract_inverted_index.Management | 410 |
| abstract_inverted_index.Processing | 52 |
| abstract_inverted_index.Pulse-Code | 377 |
| abstract_inverted_index.Quadrature | 68 |
| abstract_inverted_index.allocation | 129 |
| abstract_inverted_index.arithmetic | 257 |
| abstract_inverted_index.compressed | 249 |
| abstract_inverted_index.contextual | 219 |
| abstract_inverted_index.decomposed | 85 |
| abstract_inverted_index.exploiting | 379 |
| abstract_inverted_index.filtering. | 366 |
| abstract_inverted_index.minimizing | 235 |
| abstract_inverted_index.operation. | 424 |
| abstract_inverted_index.prediction | 197, 220, 245 |
| abstract_inverted_index.previously | 328 |
| abstract_inverted_index.procedures | 415 |
| abstract_inverted_index.processing | 64 |
| abstract_inverted_index.properties | 137 |
| abstract_inverted_index.redundancy | 163, 406 |
| abstract_inverted_index.represents | 23 |
| abstract_inverted_index.techniques | 132 |
| abstract_inverted_index.<input.adc> | 435, 440 |
| abstract_inverted_index.<input.wav> | 430 |
| abstract_inverted_index.Compression | 6, 147 |
| abstract_inverted_index.Description | 360 |
| abstract_inverted_index.Modulation) | 378 |
| abstract_inverted_index.Resolution: | 120 |
| abstract_inverted_index.approaching | 286 |
| abstract_inverted_index.compression | 131, 267, 343, 390 |
| abstract_inverted_index.correlation | 173 |
| abstract_inverted_index.dynamically | 226 |
| abstract_inverted_index.efficiency: | 268 |
| abstract_inverted_index.estimation, | 339 |
| abstract_inverted_index.octave-band | 93 |
| abstract_inverted_index.probability | 302, 338 |
| abstract_inverted_index.residuals). | 330 |
| abstract_inverted_index.significant | 25 |
| abstract_inverted_index.specialized | 67 |
| abstract_inverted_index.surrounding | 321 |
| abstract_inverted_index.symmetrical | 422 |
| abstract_inverted_index.techniques. | 158 |
| abstract_inverted_index.theoretical | 288 |
| abstract_inverted_index.time-domain | 36 |
| abstract_inverted_index.<output.adc> | 431 |
| abstract_inverted_index.<output.wav> | 436 |
| abstract_inverted_index.Architecture | 49 |
| abstract_inverted_index.Compression: | 426 |
| abstract_inverted_index.Differential | 18, 144, 155 |
| abstract_inverted_index.Quantization | 373 |
| abstract_inverted_index.compression. | 31 |
| abstract_inverted_index.correlation. | 381 |
| abstract_inverted_index.difference), | 200 |
| abstract_inverted_index.implemented) | 461 |
| abstract_inverted_index.low-bitrate, | 28 |
| abstract_inverted_index.meticulously | 84 |
| abstract_inverted_index.particularly | 170 |
| abstract_inverted_index.(Differential | 376 |
| abstract_inverted_index.(correlation) | 164 |
| abstract_inverted_index.high-fidelity | 29 |
| abstract_inverted_index.intra-subband | 380 |
| abstract_inverted_index.Decompression: | 432 |
| abstract_inverted_index.Decorrelation: | 104 |
| abstract_inverted_index.Time-Frequency | 119 |
| abstract_inverted_index.independently. | 118 |
| abstract_inverted_index.psychoacoustic | 136 |
| abstract_inverted_index.characteristics | 230 |
| abstract_inverted_index.encoder/decoder | 423 |
| abstract_inverted_index.tree-structured, | 92 |
| [email protected] | 475 |
| cited_by_percentile_year | |
| countries_distinct_count | 0 |
| institutions_distinct_count | 1 |
| citation_normalized_percentile |